A low complexity block-based adaptive lossless image compression
文献类型：期刊论文
| 作者 | Yang, Long1; He, Xiaohai1; Zhang, Gang2; Qing, Linbo1; Che, Tiben1 |
| 刊名 | OPTIK
 |
| 出版日期 | 2013 |
| 卷号 | 124期号:24页码:6545-6552 |
| 关键词 | Embedded compression IWT LHT FPGA |
| 英文摘要 | For low power and lossless image compression, in this paper, a low complexity, block-based decomposition of subbands technology is proposed for embedded compression (EC) algorithm, which is ready for being implemented on a single-chip of FPGA. The proposed algorithm is based on high-speed pipeline architecture of 2-D lossless integer wavelet transformation (MU) with 2-D Lossless Hadamard Transformation (LHT). In the proposed algorithm, the coefficients of a 2-D IVVT are decomposed by 4 x 4 blocks to further remove redundancy, compared with direct encoder by EBCOT of JPEG2000. Considering the feature of the 2-D IWT, a different strategy is designed for LL-subband and non-LL subbands, which denotes DC prediction (DCP) and adaptive transformation method (ATM), respectively. DCP is used to remove the correlation between two adjacent blocks of LL-subband, and ATM is used to transform non-LL subbands by 2-D LHT selectivity. After further transformation, the coefficients are decomposed as truncated integer part (TIP) and truncated residue parts (TRP), considering the complexity of hardware implementation, TIP is encoded by Zero Running Length (ZRL) and Exp-Golomb (EG). TRP is encoded by a fixed length (FL) encoder after removed redundancy by the feature of 2-D LHT, when seen as bit patterns [1]. Experimental results show that the proposed EC algorithm can achieve a good compression performance as JPEG2000, and the coding latency can be decreased at an average of 43.9%. Another innovation of this paper is EC's hardware-friendly feature and easy hardware implementation, which are presented by a simple addition or subtraction of the LIWT and LHT, and need a small on-chip memory. Crown Copyright (C) 2013 Published by Elsevier GmbH. All rights reserved. |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Optics |
| 研究领域[WOS] | Optics |
| 关键词[WOS] | INTEGER WAVELET TRANSFORM ; ALGORITHM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000327685700015 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/1209]  |
| 专题 | 光电技术研究所_光电技术研究所被WoS收录文章 |
| 作者单位 | 1.Sichuan Univ, Image Informat Inst, Coll Elect & Informat Engn, Chengdu 610064, Peoples R China 2.Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Long,He, Xiaohai,Zhang, Gang,et al. A low complexity block-based adaptive lossless image compression[J]. OPTIK,2013,124(24):6545-6552. |
| APA | Yang, Long,He, Xiaohai,Zhang, Gang,Qing, Linbo,&Che, Tiben.(2013).A low complexity block-based adaptive lossless image compression.OPTIK,124(24),6545-6552. |
| MLA | Yang, Long,et al."A low complexity block-based adaptive lossless image compression".OPTIK 124.24(2013):6545-6552. |
入库方式： OAI收割
来源：光电技术研究所
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